---
license: cc-by-nc-sa-4.0
tags:
- generated_from_trainer
model-index:
- name: gpt_16_5_5.6e-5_lp5_nb10
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

# gpt_16_5_5.6e-5_lp5_nb10

This model is a fine-tuned version of [skt/kogpt2-base-v2](https://huggingface.co/skt/kogpt2-base-v2) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 4.0126

## Model description

More information needed

## Intended uses & limitations

More information needed

## Training and evaluation data

More information needed

## Training procedure

### Training hyperparameters

The following hyperparameters were used during training:
- learning_rate: 5.6e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 5.0
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step  | Validation Loss |
|:-------------:|:-----:|:-----:|:---------------:|
| 3.1407        | 0.38  | 1000  | 4.0864          |
| 3.1639        | 0.76  | 2000  | 4.0867          |
| 2.87          | 1.13  | 3000  | 4.0611          |
| 2.8591        | 1.51  | 4000  | 4.0315          |
| 2.8866        | 1.89  | 5000  | 4.0079          |
| 2.6146        | 2.27  | 6000  | 4.0153          |
| 2.6576        | 2.64  | 7000  | 4.0021          |
| 2.5361        | 3.02  | 8000  | 4.0106          |
| 2.4552        | 3.4   | 9000  | 4.0137          |
| 2.4595        | 3.78  | 10000 | 3.9967          |
| 2.3286        | 4.15  | 11000 | 4.0204          |
| 2.2805        | 4.53  | 12000 | 4.0154          |
| 2.3098        | 4.91  | 13000 | 4.0126          |


### Framework versions

- Transformers 4.25.1
- Pytorch 1.9.0+cu102
- Datasets 2.8.0
- Tokenizers 0.13.2